Genetic Algorithm Application in Optimization of Wireless Sensor Networks
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
There are several applications known for wireless sensor networks (WSN), and such variety demands improvement of the currently available protocols and the specific parameters.
Some notable parameters are lifetime of network and energy consumption for routing which play key role in every application.
Genetic algorithm is one of the nonlinear optimization methods and relatively better option thanks to its efficiency for large scale applications and that the final formula can be modified by operators.
The present survey tries to exert a comprehensive improvement in all operational stages of a WSN including node placement, network coverage, clustering, and data aggregation and achieve an ideal set of parameters of routing and application based WSN.
Using genetic algorithm and based on the results of simulations in NS, a specific fitness function was achieved, optimized, and customized for all the operational stages of WSNs.
American Psychological Association (APA)
Norouzi, Ali& Zaim, Abdül Halim. 2014. Genetic Algorithm Application in Optimization of Wireless Sensor Networks. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1049080
Modern Language Association (MLA)
Norouzi, Ali& Zaim, Abdül Halim. Genetic Algorithm Application in Optimization of Wireless Sensor Networks. The Scientific World Journal No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-1049080
American Medical Association (AMA)
Norouzi, Ali& Zaim, Abdül Halim. Genetic Algorithm Application in Optimization of Wireless Sensor Networks. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1049080
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049080